This file was created by scanning the printed publication. Errors identified by the software have been corrected; however, some errors may remain. Chapter32 Environmental Risk Assesslnent and Deployment Strategies for Genetically Engineered Insect-Resistant Populus1 Kenneth F. Raffa, Karl W. Kleiner, David D. Ellis, and Brent H. McCown Introduction Most studies on genetically engineered plants have concentrated on efficacy; few have focused on environmental safety {Seidler and Levin 1994). This emphasis reflects the rapid increase in our technological capabilities over the last 15 years and reflects an uncertainty over how best to scientifically generate relative rankings of the likelihood and severity of possible adverse effects. Environmental risk assessment is not an exact science and can only provide direct comparisons between treatments and checks under the most controlled, and therefore least realistic, conditions. Moreover, risk assessment inevitably raises questions that are at least partially subjective, value-laden, and contextual. This chapter attempts to ·identify the more significant issues of environmental risk, weigh their relative impacts, and suggest possible strategies for reducing adverse effects. We limit our discussion to potential environmental effects. Impacts on social and economic systems, while important, are beyond our expertise. Approaches to Environmental Risk Assessment An appropriate definition of environmental risk is debatable (Morgan 1993; Wilson and Crouch 1987). In this 1 Klopfenstein, N.B.; Chun, Y. W.; Kim, M.-S.; Ahuja, M.A., eds. Dillon, M.C.; Carman. R.C.; Eskew. L.G., tech. eds. 1997. Micropropagation. genetic engineering. and molecular biology of Populus. Gen. Tech. Rep. RM-GTR-297. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 326 p. chapter, environmental risk means: "the likelihood that release of a novel material will cause adverse effects such as mortality or reduction in populations of nontarget organisms due to acute, chronic, or reproductive effects, or disruption of community or ecosystem function" {Urban and Cook 1986). Predicting consequences becomes increasingly complex as the scale expands from individual- to community-level interactions. For example, negative effects on individuals do not necessarily translate into reduced populations. Natural and managed systems provide many instances of compensatory feedback where removing substantial numbers of individuals does not affect population density. Conversely, the prospect of indirect effects from community-level interactions, even when no individual effects appear important, is a serious concern. Basic ecological studies provide a wealth of examples. Indirect interactions, across multiple trophic levels, incorporating biotic and abiotic environmental factors, and mediated by a broad range of symbionts, competitors, and alternate hosts, can exert enormous influences and generate unpredicted outcomes {Angle 1994; Bergelson 1994; Ehler 1990; Holt 1977; Price et al. 1980; Simberloff 1985). Similarly, the history of applied ecologies, such as agriculture and forestry, shows that indirect interactions often yield the least predictable yet most damaging consequences. The issue of ecological complexity is a paradox to risk assessment. Controlled evaluations of acute effects on isolated individuals generate the least variable and seemingly most "reliable" results. Studies that attempt to unravel more diffuse and incipient effects are ultimately more important, yet unfortunately they are less likely to provide definitive answers {Angle 1994). Ironically, current approaches to training, funding, and productivity are strongly biased toward the former approach. Comprehensive risk assessment must also weigh anticipated benefits against risk. Genetic engineering of Populus offers several potential benefits, such as reduced pesticidal inputs, improved carbon sequestration, alleviation of pressures to exploit unmanaged systems, and improved sources of alternatives to fossil fuels {Kleiner et al. 1995; 249 Section V Biotechnological Applications McCown et al. 1991; Raffa 1989; Raffa et al. 1993; Robison et al. 1994). These are potentially enormous benefits; however, they are beyond the scope of this paper. Potential risks can be categorized based on their spatial and temporal scales. For example, an effect could be limited to the treated site, or it could impact neighboring ecosystems. Effects can be short-term, such as the release of a toxic gene product into the environment, or self-replicating, such as the escape of viable germplasm. Such distinctions can be somewhat blurred and need to be assessed as part of the complete risk evaluation process. Still, there is general agreement that the most serious concerns arise when genetically engineered organisms could cause selfperpetuating injury to commercial or natural ecosystems beyond the immediate area of release. Criteria for Risk Assessment Different individuals, agencies, and organizations have advocated different criteria, burdens of proof, and levels of evidence governing the planned release of genetically engineered organisms. Probably the most helpful guidance is provided by a National Academy of Sciences committee headed by Arthur Kelman (NAS 1987). In the opinion of NAS, what matters is the product not the process. According to this perspective, introducing genetically engineered organisms "poses no risks different from the introduction of unmodified organisms and organisms modified by other methods." Therefore, "assessment of risk should be based on the organism, not the method of engineering." Subsequent authors have delineated some important differences between g~netic engineering and plant breeding, and hence the need for limits in applying this equivalency (Dale and Irwin 1995; Giampietro 1994; Regal 1994). However, this starting point has proven useful and has withstood the test of time. Similar conclusions are stated by Tiedje et al. (1989) in an Ecological Society of America report: "transgenic organisms should be evaluated and regulated according to their biological properties (phenotypes), rather than according to the genetic techniques used to produce them." Emphasizing phenotypes over the methods by which they arise has proven useful because it rebuts scientifically unfounded criticisms and focuses on interactions between gene products and their environment. Rather than dismissing environmental concerns, this approach highlights the importance and complexity of predicting responses to gene products at the community level, and the need for ecological expertise in devising scientifically based policies. If the product not the process is critical, then expertise in the methods of genetic engineering is not directly relevant to predicting how novel organisms will interact with eco- 250 systems. Molecular expertise is invaluable, however, in protecting against unintended changes in the genome, incorporating methods of sterility, and controlling and evaluating patterns of expression. The criteria for estimating and the approaches to alleviating environmental concerns require interdisciplinary efforts (Raffa 1989). Raising every imaginable hazard that could arise from genetically engineered organisms is neither difficult nor helpful. This approach could hinder the enormous value of biotechnology and dilute needed emphasis on legitimate concerns. At the other extreme, the view is sometimes expressed (or implied) that all concerns arise merely from a lack of scientific understanding or breadth. This view seriously underestimates the complexity of scaling from molecular- through ecosystem- level processes. Failure to consider such complexity invariably detracts from the long-term sustainability of new technologies; a costly lesson already appreciated by agrichemical companies. The issue needs to be one of reasonable probability (de Zoeten 1991; Frederick and Egan 1994; Hubbes 1993; NAS 1989; Raffa 1989; Strauss et al. 1991; Tiedje et al. 1989). For example, Tolin and Vidaver (1989) propose that "restrictions should be based on demonstrated, not conjectural risks." However, we would substitute "realistic" for "demonstrated" to promote a more proactive approach· to risk management. In our view, the likelihood of risk may be realistic if 2 conditions are met: 1) a clear mechanism, based on known biological processes and verified assumptions, can be delineated; and 2) there is relevant precedent. Few specific risks meet the above criteria. Those that do can be classified into 3 general categories: 1) escaped plants or genes, 2) evolution and consequences of resistant pest biotypes, and 3) alteration of multi-trophic processes. We first describe how Populus systems relate to these questions and then address each risk. Biotype evolution will be developed as a more detailed case study, as this is our primary area of interest. We conclude with an overall synthesis of environmental risk assessment in Populus. For each concern, the potential risk can be addressed by asking 3 questions: 1) "Is there assurance that the proposed event (i.e., gene escape, biotype evolution, altered multi-trophic process) will not occur?"; 2) "Is there assurance that the effects will be harmless if this event does occur?"; and 3) "Are there ways for reducing the likelihood and impact of harmful effects?" These questions place the burden of proof on the novel gene product to be consistent with ~ow other novel products such as biological control agents, introduced plant materials, and pesticides are evaluated (Caltagirone and Huffaker 1980; Charudattan and Browning 1992; FIFRA 1978; Fuester 1993; Harris 1985; Hinkle 1993; Hutton 1992; Upholt 1985; USDA FS 1991; White et al. 1992). During actual experimentation, however, the null hypothesis is one of no effect. Also note that questions 1) and 2) are evaluated in the absence of any ameliorating steps, but the availability USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. Environmental Risk Assessment and Deployment Strategies for Genetically Engineered Insect-Resistant Populus and implementation of such tactics (question 3) could greatly reduce resulting concerns. Populus Growing Systems The safety of releasing a genetically engineered organism is determined by the gene product and the environment into which it will be introduced (Abbott 1994; Falk and Bruening 1994;}epsonet al. 1994; Pimentel et al. 1989). In general, risks are lower for intensively cultured short rotation tree crops than for large forested expanses of longlived species (Raffa 1989). Populus occupies a relatively broad range of growing conditions along this continuum. For example, trembling aspen, Populus tremuloides, is one of the most widely distributed naturally occurring species in North America. It is a valued forest tree with anumber of uses such as soil quality improvement, watershed maintenance, C02 sequestration, and wildlife habitat. When used for timber, Populus is harvested from self-regenerating forests and grown in commercial stands. Populus is also a major component of rapid rotation systems such as biofuel plantations. These intensively managed systems, more closely resembling agricultural than forest production, have short growing intervals, are based on carefully derived clonal material, and are subjected to intensive cultural and chemical inputs. Populus has also become the focus of intense basic research by molecular biologists, plant physiologists, and ecologists. Populus is the preeminent tree model for tissue culture, molecular mapping, and transgenic technology. Concurrently, Populus has become a key model for basic ecophysiological and plant-herbivore interaction studies. Thus, Populus provides an ideal system for evaluating the role of plant community structure in the efficacy and environmental safety of various deployment strategies and for integrative studies from the molecular- through ecosystem- level scales. Movement of Transgenes Into Native Populations The most direct form of proposed environmental harm is that genes encoding novel traits might become established in feral populations and subsequently exert a weedy effect. A variety of mechanisms for gene escape have been proposed such as hybridization into gene pools of wild relatives, crop abandonment, movement of cuttings by animals or water, etc. Escape of transgenes into the envi- USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. ronment could occur on several levels, and the risk associated with each level of escape varies. A commonly proposed level of escaped transgenes is via pollen or seed. Another level is the physical movement of plant parts into the surrounding environment. Because virtually all the poplars used in short rotation plantations are clones multiplied by vegetative cuttings, small branches can be moved off site by animals or overland water flow. The root sprouting habit of several poplars poses a similar concern. Precedents by which to evaluate possible consequences of escaped material are offered by the literature on accidental or injudicious introduction of exotic species. Following the N AS (1987) rationale that introducing genetically engineered organisms should not be treated differently from other unmodified organisms, the literature on exotic introductions provides useful precedents to evaluate the likelihoods and consequences of escapees (Williamson 1994). A large and well-documented data base details numerous instances in which accidentally or deliberately introduced microorganisms, arthropods, nematodes, plants, and vertebrates became established in non-native ecosystems, and subsequently exerted severe economic and environmental consequences (e.g., Liebhold et al. 1995; Lodge 1993; Mooney and Drake 1986; US Congress OTA 1993 ). A number of molecular biologists, agronomists, ecologists, and plant protection specialists have 'cautioned that some escape is likely. For example, Strauss et al. (1995) stated unambiguously, uGene flow within and among tree populations is usually extensive, which makes the probability of transgene escape from plantations high." Timmons et al. (1995, 1996) expressed a similar conclusion for Brassica. Likewise, the ecologists Kareiva et al. (1994) concluded that "the escape of transgenic pollen is inevitable." Williamson's (1994) analysis of historical records of deliberately introduced organisms, concludes that nearly all escape, and of these 10 percent become established. Our ability to address whether there is sufficient assurance that escaped genes would be harmless is considered case by case (Dale and Irwin 1995). Various authors, including molecular biologists (Strauss et al. 1995), ecologists (Kareiva et al. 1994; Regal 1994; Seidler and Levin 1994; Tiedje et al. 1989), and crop protection specialists (Dale 1994; Williamson 1994), have identified possible adverse effects of escaped transgenes. Some examples include creation of new (or enhanced) pests, harm to nontarget species, and disruptions to biotic communities, natural food webs, and ecosystem processes. In each of these cases, there are well established mechanisms by which such adverse consequences might arise, and substantial literature providing precedents from analogous introductions. Examples of possible mechanisms include: 1) enhanced competitiveness of a genetically engineered organism (due to pest resistance or physiologi- 251 Section V Biotechnological Applications cal environmental tolerance of stress) that displaces existing or subsequent beneficial organisms (Ellis et al. 1984; Moamad et al. 1984); 2) reductions in seed dispersal, pollination, or biodiversity by insecticidal transgene products (Simmonds 1976; McGranahan et al.·1988); or 3) acquisition of traits that enhance competitive status by existing weed species (Windle and Franz 1979). Again, the historical record with traditional introductions is of some value. Williamson (1994) reports that 10 percent of the 10 percent of escaped species that establish become problematic. It must be emphasized,. however, that such figures do not reflect refined deployment strategies (using specific information about target species, transgenes, rotation cropping system, and location) that could accompany planned releases of transgenic poplars. And, although the historical record of planned releases of genetically engineered organisms is still relatively small, to date there have been no known adverse effects. Despite the potential for adverse effects, a number of attributes of the transgene, the parent organisms, phenotypic expression, and target pest-environment system could reduce risk (Tiedje et al. 1989). For example, risk analysis must consider whether pollen from transgenic hybrids is compatible with surrounding populations and also whether the timing of pollen release occurs when stigmatic surfaces in surrounding populations are receptive. Any impact of escaped genes will likely vary with the novel gene product as well. For example, risks associated with the escape of a Bacillus thuringiensis (Bt) endotoxin gene may be different than those for a gene modifying lignin. Differences in plant species and growing systems are also pertinent. In agronomic food crops such as soybean, maize, potato, and tomato, measures such as sterility have not been a requirement for registration. Conversely, a case-bycase analysis of each transgene-species-planting site, combinations may be needed. The third question, whether the risk or impact of escape can be ameliorated, is currently the subject of intense effort. Risk from escape by vegetative material could be reduced by management practices that minimize root sprouting outside the plantation and the distance plant material is moved. This can be achieved by planting buffer strips that are routinely cultivated and/ or planted with an annual crop so that escapes can be readily identified and treated with herbicide. One management strategy for contending with pollen or seed dispersal might be to identify late flowering clones for a breeding population, such that harvesting occurs before sexual maturity in the transgenic trees. Such an approach would offer functional, while not physiological, sterility. Another strategy might be the use of sterile triploids. Physiological approaches to reproductive sterility in genetically engineered trees have recently been reviewed (Strauss et al. 1995) and are not be treated extensively here. Basically, these include using floral promoter-cytotoxin' to 252 ablate floral tissues and disrupting expression of essential floral genes. In the former approach, cytotoxic genes regulated by reproductive-specific promoters kill all cells committed to reproductive development. The latter approach uses antisense RNA, sense suppression, or promoter-based suppression to impair the expression of genes required for fertility. These approaches can be deployed with varying levels of gender specificity, have relative advantages and disadvantages (Meilan and Strauss this volume; Strauss et al. 1995), and have yielded some successes (Mariani et al. 1990). The current obstacles relate to our lack of basic information about reproductive gene sequences and expression in clonally propagated species such as Populus. Very little is known about the long-term stability of transgene expression in woody perennials. In 1 test examining the expression of a marker gene in field poplars, some level of seasonal variability in transgene expression was observed, but in general this variation was predictable, and relatively continuous expression levels occurred from year to year (Ellis et al. 1994). Of greater concern, however, is the variation in expression levels and patterns that occur between individual transformants containing the same construct. In addition to the variation in the overall levels and patterns of transgene expression, current molecular understanding of transgene regulation in plants is at a relatively elementary level. Genetic engineering for sterility requires very precise control over a transgene to interrupt and terminate flowering. There currently is no way to ensure that this transgene will function in all the plants over the 5 to 10 years a poplar plantation requires to mature. Additional research is needed to devise such capabilities. Evolution of Resistant Pest Biotypes and Emergence of Secondary Pests General Considerations the evolution of insect and microbial biotypes in response to genetically engineered plants has been an area of concern since the early development of plant transformation technologies (Gould 1988). The same 3 questions posed for gene escape, with emphasis on insects, will be addressed here: 1) Is there assurance that resistant pests will not evolve? 2) Is there assurance that resistant pests will not cause environmental harm if they do arise? and 3) Are there ways for reducing the likelihood and impact of resistant biotypes? The potential of pest-biotype evolution is well established by a strong mechanistic foundation and historical precedent (Brattsten et al. 1986; Forgash 1984; Georghiou USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. Environmental Risk Assessment and Deployment Strategies for Genetically Engineered Insect-Resistant Populus and Lagunes-Tejeda 1991; Georghiou and Saito 1983; McGaughey 1985; Roush and Tabashnik 1990; Tabashnik 1994). Extensive insecticide application, deployment of resistant cultivars, and even cultural practices have repeatedly selected for resistant insect biotypes (Via 1990). Moreover, the underlying mechanisms have been well characterized at the molecular, biochemical, physiological, and population levels (Cohan and Graf 1985; EggersSchumacher 1983; Flexon and Rodell1982; Kulkarni and Hodgson 1984; Muggleton 1982; Mullin and Scott 1992; Oppenoorth 1984; Roush 1987; Ryan and Byrne 1988; Skylakakis 1982). Intraspecific differences among gypsy moths and forest tent caterpillars from different geographic sources to poplars transgenically expressing Bt have been observed (figure 1). Variation among these and other forest lepidopterans to exogenously applied Bt is also well documented (Rossiter et al. 1990; Van Frankenhuyzen et al. 1995). Adaptations by insects to altered sources of food plant quality, quantity, and distribution are well documented in natural and managed systems (Singer et al. 1993; 1.0 . . M. DISSTRIA ~ L. DISPAR _. (/) 0 a:: 0.8 .... z 0 (.) a:: 0.6 0 u. w (.) zw 0.4 a:: w u. w a:: Q.. 0.2 0.0 ONT WI NS F51 POPULATION Figure 1. Intraspecific variation among gypsy moth and forest tent caterpillar populations to transgenic poplars expressing a Bt endotoxin gene. Two forest tent caterpillar, Malacosoma disstria, populations showed different levels of aversion from transgenic relative to control foliage. A similar difference was observed between 2 gypsy moth, Lymantria dispar, populations (Robinson et al. 1994 )_. ONT=Ontario, Canada; WI=Wisconsin, USA; NS=Nova Scotia, Canada and USDA APHIS; F51 =gypsy moths from laboratory culture at USDA Beneficial Insects Laboratory, Newark, DE, USA; ns=nonsignificant. USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. Singer and Parmesan 1993; Via 1990). Thus, herit~ble variation required for gene frequency alteration in response to selection is sufficient. It does not matter whether an insect toxin is deployed through spray application, traditional breeding, or genetic transformation. For example, the introduction of new plant varieties is sometimes followed by a population increase of previously innocuous herbivores to pest levels. Attention should not be limited to plants specifically engineered for pest resistance, as development of presumably unrelated plant qualities can also alter selective pressures (Raffa 1989). For example, development of new rice varieties for various agronomic properties led to the emergence of new pest complexes (Oka and Bahagiaivani 1984). In addition, engineering plants for altered, increased, or novel secondary products could have multiple consequences. Even chemical groups that are typically considered "defensive" can directly benefit adapted herbivores (Bernays and Woodhead 1982), or indirectly benefit them by reducing the efficacy of beneficial predators (Codella and Raffa 1995), parasitoids (Campbell and Duffey 1979), and entomopathogens (Andrews et al. 1980). Selective pressures imposed by transgenic trees could be higher than those resulting from insecticide treatments. Insecticide-resistant biotypes have been rare among forest pests, despite a rather extensive history of synthetic chemical and Bt application. Tree-feeding herbivores are not physiologically unique in this regard. Rather, tree-feeding insects are exposed to more variable exposure patterns, less complete spray deposition, and less frequent treatment, than are agronomic insects. These sources of variability could be lost using transgenics. Depending on migration rates, neighboring untreated forests could provide refugia for susceptible genotypes, when they are near to transgenic plantings. In this regard, transgenic poplars could pose less of a threat of biotype evolution than many transgenic agronomic crops. Where poplars are planted in isolation from native refugia, however, such as in irrigated deserts, this benefit would be minimal. Usually, the impact of evolved resistance against pesticides, resistant cultivars, and genetically engineered trees, is limited to loss of efficacy (Raffa 1989). However, 2 general categories of adverse effects could extend beyond treated plantations: 1) induced insect emigration into neighboring non-transgenic stands; and 2) lost efficacy of previously useful tools in non-transgenic stands. The possibility of between-stand movement raises the ethical concern that a grower who chooses not to plant genetically engineered trees may be subjected to immigrants from engineered stands (the same could be true of most traditionally bred forms of resistance and chemical pesticides). This risk may be greater in tree than agronomic crops, because airborne larval dispersion is on average more important in forest insect life histories. A critical need in assessing this impact is understanding the relationship 253 Section V Biotechnological Applications between toxicity and repellency, and in particular, whether repellency occurs pre- or post- ingestion (Hoy and Head 1995; Ramachandran et al. 1993a, 1993b). This could affect, for example, whether emigrating individuals possess a slightly higher level of physiological tolerance than the general population. The available evidence suggests. that these parameters vary markedly with the insecticidal product, its interaction with plant allelochemicals, and insect species. We currently lack information on how best to balance the value of behavioral aversion as a resistance-delaying tactic versus its impact on non-treated stands (Gould 1988; Hoy and Head 1995; Johnson and Gould 1992). The possibility of transgenic plants reducing the utility of an externally sprayed biopesticide, such as Bt endotoxin, to growers who use Integrated Pest Management (IPM) approaches based on economic injury levels, raises a similar ethical concern. This is analogous to neighboring growers applying insecticides on a calendar rather than density-activated basis. Likewise, integrated plant protection programs could be compromised when biotypes evolve against transgenic resistances that are based on elevated or altered allelochemicals (again, the same could be true of some traditional breeding). Loss of efficacy can be compounded when the mechanism of evolved resistance confers cross-resistance to other insecticides or resistant-cultivar allelochemicals (Brattsten et al. 1986; Brattsten 1991). Cross-resistance is a widely occurring phenomenon that can arise by a number of wellcharacterized physiological mechanisms. For example, the introduction of the synthetic pyrethroids, derived analogues of Chrysanthemum spp. extracts, encountered rapid biotype evoiution in regions where the synthetic organochlorine DDT had been widely used. Similarities in the pharmacological properties of these 2 groups provide a physiological explanation for cross-resistance, but a priori considerations based on the unrelatedness of their molecular structures failed to predict these consequences. Mitigation Strategies Although resistant biotypes are likely to evolve if transgenic poplars are deployed without preconceived resistance management programs, a variety of ameliorating strategies can be used. There are many examples of effective pest control tactics providing satisfactory control over many decades. Likewise, naturally evolved plant defenses provide many examples of long-term stability. Even among trees, in which host-generation times exceed those of insects and pathogenic microbes by orders of magnitude, most members of the host population are protected most of the time (e.g., Edmunds and Alstad 1978; Whitham 1983). A major principle to emerge independently from toxicology, plant breeding, and ecology is that the pattern and intensity of selection, more than the actual mode of toxicity, most strongly affect biotype evolution 254 rates (Brattsten et al. 1986; Tabashnik and Croft 1982). The rate, impact, and extent can be greatly reduced by considering features of the target system and by incorporating heterogeneity at multiple levels of scale. Preconceived resistance management programs now accompany the introduction of many pesticides, as agrichemical corporations recognize the economic value of protecting their investments. Likewise, deployment of transgenic cotton and corn is now accompanied by guidelines prescribing inclusion of non-engineered seed. Some features of the tree-insect system that can accelerate or retard biotype evolution include the availability of refugia for susceptible insect genotypes, attributes of the major pests' physiology, behavior, and ecology, and compatibility of the novel trait with other management tactics. Thus, intensively cultured, short-rotation Populus plantations pose less risk than forests of long-lived species such as Pseudotsuga. In the latter case, the enormous differences between pest and host generation times would greatly reduce the efficacy of any biotype-delaying tactics. Likewise, the defoliator guild that most strongly impacts Populus poses less risk than, for example, the scolytids associated with Pinus and Picea. In the latter case, beetle preference for stressed trees limits them to such hosts during lengthy nonoutbreak periods. Conferring a novel resistance that was expressed regardless of tree vigor would greatly alter the selective pressures on bark beetles and possibly result in more pestiferous behavior (Raffa 1989). No such relationship appears to regulate population dynamics of most folivores. Diversifying tactics, such as mixed block plantings and crop rotation, are well suited for Populus. A wide range of hybrid poplar clones are available for deployment, including some that provide rapid growth and resistance against some key pests (Robison and Raffa 1990, 1994, 1997a, 1997b). Mixed block plantings can also incorporate host plant tolerance. For example, some of the less resistant clones against Malacosoma disstria feeding can withstand considerable defoliation without experiencing severe growth losses (figure 2). Protection against multiple pest complexes can be achieved by integrating traditional and transgenic resistances. The need and potential for this approach are illustrated by the lepidopteran and coleopteran feeding guilds. Strong resistances against both groups have been identified, but no clones are highly resistant to both (Robison and Raffa 1994). Continued hybridization or characterization are unlikely to improve this relationship because the same allelochemicals, specific phenolic glycosides, which inhibit lepidopterans benefit coleopterans (Bingaman and Hart 1993; Lindroth and Bloomer 1991; Ramachandran et al. 1994; Smiley et al. 1985) (figure 3). Understanding these relationships can help guide molecular strategies. For example, inserting only a coleopteran-active Bt (crylllA, cryiB) into 'NM6' (P. nigra x P. maximowiczii), and only the USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. Environmental Risk Assessment and Deployment Strategies for Genetically Engineered Insect-Resistant Populus ~ i?ii t5 ~~ ~~ c:li: ~~ w a: b A DTAC2 12- NM6 ...J 10 < > > a: :::) en NC5331 8 60 B ~ 40 ~ ~ ~ ~ ·o---- -------0 B oe NC11432 20 NC11445 6 NC11382 ~-- ~c;; 80 14- NC11505 NC5262 0 4 50 NC11396 60 70 80 90 NC11004 2 PHENOLICS (ug/mg) NC5377 ~ Chrysomela scripta --o-- Ma/acosoma disstria NC527t 0 22 I 0 2 4 6 8 10 12 14 55 B a TOLERANCE TO DEFOLIATION :E. (RANK ORDER) ::!! 20 w i=S !z·@w 18 &ti 16 B --- --- ______ ..o 50 ~ 45 :::E 40 !z;; w .~ 35 g::e 30 Gj c w t) ~VI i= .! ~"tl Figure 2. Variation in host resistance against defoliation by forest tent caterpillar (FTC) larvae and tolerance to a controlled level of artificial defoliation among hybrid poplar clones. Some clones are relatively unable to prevent defoliation but are highly tolerant if it occurs (from Robison & Raffa 1997a). cl. 'DTAC2' (Populus deltoides var. angulata x P. x berolinensis); cl. 'NC5262' (cl. 'NE387') (P. balsamifera var. subcordatal candicans x P. x berolinensis); cl. 'NC5271 (cl. 'NE19') (P. nigra var. charkowiensis x P. nigra var. caudina); cl. 'NC5331' (cl. 'NE299') (P. nigra var. betulifolia x P. trichocarpa); cl. 'NC5377' (cl. 'Wisconsin #5') (P. deltoides x P. nigra); cl. 'NC11004' (P. deltoides cv. 'Siouxland'); cl. 'NC11382' (cl. 'NE27') (P. nigra var. charkowiensis x P. x berolinensis); cl. 'NC11396' ( cl. 'NE49') (P. maximowiczii x P. x bero/inensis); cl. 'NC11432' (cl. 'NE252') (P. deltoides var. angulata x P. trichocarpa); cl. 'NC11445' (cl. 'NE280'; cl. 'NE157') (P. nigra x P. /aurifolia); cl. 'NC11505' (cl. 'NE388'; cl. 'NE88') (P. maximowiczii x P. trichocarpa); cl. 'NM6' (cl. 'Max-5') (P. nigra x P. maximowiczil). Figure 3. Opposing effects of foliar phenolics on 2 defoliating pests attacking hybrid poplars. The cottonwood leaf beetle, Chrysomela scripta, exhibits high survival and rapid development on clones, such as 'NM6' (Populus nigra x P. maximowiczit), which have high phenolic contents. Survival and development rates are poor on clones, such as 'NC5271' (P. nigra var. charkowiensis x P. nigra var. caudina), which have low foliar phenolic concentrations. Conversely, the forest tent caterpillar, M. disstria, experiences high survival and rapid growth on 'NC5271 ,' and poor survival and growth on 'NM6.' (Ramachandran et al. 1994). lepidopteran-active Bt (cryiA(a)) into 'NC5271' (P. nigra var. charkowiensis x P. nigra var. caudina), can cut in half the number of genetically engineered trees needed to express any 1 trait, yet still provide full protection against both pests (table 1). Different forms of resistances can also be combined with transgenic traits. For example, the clones 'NE332' (P. simonii x P. x berolinensis) and 'NC11382' (P. nigra var. charkowiensis x P. x berolinensis) show resistances to M. disstria, but these defenses are based on foliar phenolic glycosides and bud resins, respectively (table 2) (Ramachandran etal.1994; Robison and Raffa 1997a). Such combinations can increase heterogeneity because Bt inter- acts with different phytochemical groups differently (Appel and Schultz 1994; Hwang et al. 1995). Heterogeneity can be further enhanced by linking expression to wound-inducible promoters. Wound-inducible expression of inserted genes could simulate the" economic injury levels" that trigger pesticide applications in Integrated Pest Management systems. That is, a certain level of insect feeding would be tolerated before expression was elicited. Opportunities for increasing heterogeneity at this level are supported by existing variation in inducibility among poplar clones (table 3). However, preliminary evidence suggests that the sensitivity of existing wound-in USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. n. m Gj Q b 14 12 50 . w 25 60 NC5271 70 80 NE332 90 NMS PHENOLICS (uglmg) 255 Section V Biotechnological Applications Table 1. Proposed integrated use of traditionally bred and natural plant resistance with genetic engineering to confer protection against multiple pest complexes. An example using hybrid poplar. Level of protection against pest group Lepidoptera Coleoptera Source of resistance Example Heritable plant defense {Current) Clone 'NM6' 1 'NC5271' 2 Bt Endotoxin crylilA cryiA(a) Clone+ Bt 'NC5271 ' 1 + cryiA(a) 'NM6' 2 + cryii/A Transgenic trait (Current) Integrated combination (Proposed) 1 2 High Low Low High Low High High Low High High High High 'NM6' =Populus nigra x P. maximowiczii 'NC5271' = P. nigra var. charkowiensis x P. nigra var. caudina Table 2. Surces of resistance against forest tent caterpillar, Malacosoma disstria, in 2 hybrid poplar clones (Robison & Raffa 1997a). Foliage of 'NE332' is less suitable for forest tent caterpillar larvae than is foliage of 'NC11382.' Bud resins in 'NC11382' are more effective at immobilizing larvae and preventing access to foliage. Ratio of M. disstria performance in tissue 'NC11382' 1fNE332' 2 Insect parameter Foliage Buds Growth rate (mg/day) Development time Feeding (2nd instar) Survival Weight (mg) Larval mobility Weight (mg) 6.5 1.5 19.0 2.3 1.7 0.4 0.7 = 1 'NC11382' Populus nigra var. charkowiensis x P. x berolinensis 2 'NE332' P. simonii x P. x berolinensis = Table 3. Clonal variation in Populus inducibility in response to forest test caterpillar, Ma/acosoma disstria, feeding Clone 'NC11382' 'NE332' Percent forest test caterpillar survival Constitutive tissue Damaged tissue 90 85 85 49 Source: Robison & Raffa (1997a) can sometimes provide protection nearly equivalent to treating entire plants (table 4). This approach is most suitable when insects that prefer productive tissues can also tolerate other foliage. Within-plant spatial variation in allelochemistry occurs commonly among naturally coevolved plant defenses. For example, in Populus, phenolics are concentrated in the youngest leaves, with the result that lepidopteran defoliators feed mostly on older tissue. The underlying physiological basis for uneven phytochemical distribution is complex, but among the benefits incurred by the host are protection of the most photosynthetically active tissue, retained ability to translocate carbon to the growing tip, and reduced likelihood of complete defoliation (Coleman 1986; Meyer and Montgomery 1987). Likewise, pines allocate diterpene resin acids to new not old foliage. Thus, pine sawflies feed on the older foliage, a habit that only removes photosynthetically less valuable tissue. At first glance, this might suggest a high potential for these herbivores to overcome such defenses, but most herbivore species have not evolved this ability. The evolutionary "choice" in this case is not between overcoming a biochemical barrier and starvation. Rather, those larvae that did feed on new foliage would grow less and be less fecund than those on old foliage, and hence be less competitive. Table 4. Performance of cottonweed leaf beetle, Chrysomela scripta, on trees completely or partially treated with Bt. Treatment ducible promoters may need to be increased before this strategy can provide field-level efficacy (Ellis et al. 1996}. Further heterogeneity could arise from tissue- and temporally- specific expression. Protecting only favored leaves 256 Control All foliage Young only Mature only No. egg masses produced 10.25 5.75 3.50 9.75 Source: Ramachandran et al. (1994) USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. Environmental Risk Assessment and Deployment Strategies for Genetically Engineered Insect-Resistant Populus Alteration of Multi-Trophic Processes Experiences with pesticides, introduced organisms, and other xenobiotic inputs suggest several means by which products of genetically engineered plants could affect ecosystem-level processes. Adverse impacts include reduced populations of predators, parasites, scavengers, pollinators, and endangered or aesthetically valued species. Both direct and indirect mechanisms have been delineated for impacts on each of the above, and strong historical data provides examples for each (e.g., see Caltigirone and Huffaker 1980; Ehler 1990; Findlay and Jones 1990; Holt 1977; Pimentel1980, 1991; Pimentel and Warneke 1989). Direct effects of xenobiotics on natural enemies can occur by acute toxicity or biomagnification. In general, genetically engineered trees should be less directly damaging to natural enemies than are traditional pesticides. One of the major advantages of transgenic plants is that toxins can be delivered directly to the herbivore, without broadcast application. The likelihood of biomagnification depends on the gene product. To date, most traits engineered into plants involve gene products that are rapidly broken down within the target insects. For example, we are unaware of any instances where predators were directly affected from ingesting prey killed by Bt. Other more stable gene products, however, could be problematic. Evaluating potential effects on parasites is more difficult. A major concern is that parasitoids will oviposit in insects in which they cannot complete development before host death. This could drastically reduce parasite populations, and thereby release secondary pests. For example, negative effects of plant allelochemicals on parasitoid success are well documented (Barbosa and Saunders 1984; Campbell and Duffey 1979). However, xenobiotics can sometimes benefit parasitoids. For example, Bt application can enhance performance and population densities of the gypsy moth larval parasitoid, Cotesia melanoscela (Weseloh et al. 1983). In this example, the delayed growth rates caused by Bt apparently increase the period during which surviving early instars are vulnerable to parasitism. However, interpreting such results is complicated. For example, Johnson and Gould (1992) have argued that synergism between genetically engineered resistance and parasitoids could accelerate biotype evolution and its resultant hazards. That is, if exposure to a particular product increases the likelihood of ultimate mortality, selection will more strongly favor tolerance against the predisposing agent. But in some cases, increased parasitoid densities resulting from synergism could subsequently exert mortality independent of the xenobiotic. More research is required to better quantify and partition these multiple effects. USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. Som.e indirect effects following the introduction of any new organism are inevitable. In some cases, an introduced biological control agent may competitively displace other parasitoids, yet provide less overall control (Ehler and Hall 1982). This most commonly occurs where a non-host factor (e.g., nectar) is limiting. In the case of transgenic poplars, we see no readily apparent mechanism by which this could occur. Likewise, major effects on aesthetically valued species outside the genetically engineered plantations seem unlikely. Threats to endangered invertebrates arise primarily from habitat destruction, so environmental concerns would be better addressed if they included potential consequences of extensive Populus cultivation per se, rather than just the transgenic approaches taken to protect them. Perhaps the least understood component of risk assessment concerns potential adverse affects on soil organisms. Risk assessment in this area is especially difficult because our basic understanding of nutrient cycling, detritivore taxonomy and ecology, and soil biochemical and biophysical processes is limited. Historical precedents of canopy inputs affecting soil processes include anthropogenic inputs, such as pesticides and other pollutants, and natural products such as foliar nutrients and lignins, allelochemicals from induced foliage, and insect frass (Aber et al. 1990; Cates et al. 1995; Horner et al. 1988; Mattson and Addy 1975; Melillo et al. 1982; Sugai and Schimel1993). Whether the effects of transgenic leaf litter are nonexistent, short- or long- term, and have point or non-point effects, depends on the gene product and soil properties. Products most commonly suggested for transformation into Populus have relatively high specificity, which reduces risk. For example, various Bt endotoxins are specific to Lepidoptera, Diptera, or Coleoptera. The first 2 groups do not appear to pose significant concerns; Lepidoptera exert a relatively minor role in litter decomposition, and genes conferring protection against Diptera are unnecessary in Populus. Beetles, however, are important components of the soil fauna, functioning as decomposers, vectors of beneficial microbes, and predators on a variety of potentially injurious arthropods and fungi. Thus, introduction of Coleoptera-active Bt or proteinase inhibitor poses some concern. Gene products with relatively general activity could be more problematic. For example, proteinase inhibitors can sometimes affect relatively diverse taxa and require more detailed evaluation. Novel gene products could be altered by soil biochemical and biophysical processes, as occurs with synthetic materials (Angle 1994). Consideration of genetically engineered organisms must extend beyond the actions of the gene products themselves and include studies of breakdown products. The consequences of a stable gene product must also be considered. Although a protein may not be toxic to soil organisms at the levels present in a single leaf, buildup in the soil over a season or many years may pose a problem. Such residual effects are difficult to predict because stability is affected by factors such as soil pH, nutrient content, rainfall, 257 Section V Biotechnological Applications and temperature. The stability of proteins may also be altered within the plant and vary during the year. Tactics for reducing potential risks to natural enemies and detritivores relate to the inherent properties of the gene products themselves and their expression. In general, environmental risk can be minimized when these products and their derivatives are specific to the target insect, of short duration, and exposed in a spatially and temporally limited pattern. Existing approaches to toxicological evaluation are available for such analyses. However, further theoretical development is required before optimal relationships between transgenic plants and parasitoids can be devised. Conclusion Some serious environmental concerns must be weighed against the potential benefits of genetically engineered Populus. Risk assessment can be improved by focusing on the most likely sources of environmental harm as opposed to generic listings of all hypothetical outcomes. As stated by previous authors from a broad range of backgrounds, emphasis should be placed on how gene products will interact with ecosystems not how these products arose. Conversely, the notion that genetic engineering has somehow been singled out for unique environmental scrutiny should be dispelled because there is a long history of guidelines and regulations lim.iting other insect control. tactics including synthetic and naturally derived insecticides, biological control agents, insect growth regulators, antifeedants, and even cultural control (e.g., Charudattan and Browning 1992; Coulson and Soper 1989; Howarth 1991; Mcevoy 1996; Miller 1990; Samways 1988; Upholt 1985; USDA FS 1995). A specific risk merits concern where its potential is supported by established mechanisms and relevant precedent. These criteria are met for several potential threats arising from 3 general categories of risk: 1) escape of engineered germplasm; 2) evolution of resistant biotypes; and 3) alteration of multi-trophic processes. Underlying mechanisms for each of these have been well established from multiple disciplines and across molecular through community levels. Risks can be prioritized as to whether: 1) they would be localized or affect adjacent ecosystems; 2) environmental harm would depend on continued deployment or be self-perpetu- · ating; and 3) potential ameliorating tactics are available. Table 5 summarizes the major anticipated risks, general mechanisms by which they might occur, historical precedents from which valuable lessons can be applied, and possible preventative strategies. Four points emerge from this overview. First, there is a need for proactive research on the likelihood of various environmental hazards and tactics for offsetting them. Second, interdisciplinary approaches are essential. Many of the challenges associated with plant genetic engineering may be identified from ecological perspectives, yet have fundamentally molecular solutions and vice versa (Raffa 1989).It is especially important that integrative collaborations function throughout the entire discovery and development process, rather than in sequential fashion. Sequential approaches fail to fully synergize the expertise that enhances efficacy and environmental safety and are likely to generate rivalries from differing vested interests. Third, none of the risks appears unmanageable if appropriate molecular, physiological, ecological, and management strategies are employed in a cohesive fashion. Fourth, Populus provides a particularly suitable model for research and deployment. There is a strong knowledge base from genetic, physiological, ecological, and production perspectives, and a need for traditional and emerging forest products that can be economically produced by this genus. Table 5. Summary of environmental risks, mechanisms, precedents, and preventative strategies for genetically. engineered · insect resistant Populus. Risk Mechanisms Precedents Prevention Escape Pollen transfer; hybridization vegetative materials Introduced pests Sterility; site management early harvest Resistant biotypes Altered selection pressures; release from competitors, dispersion, cross resistance Pesticides; resistant cultivars Variable & opposing selective pressures; between- & within-plant mosaics, tissue-, temporal- & woundspecific expression Altered tritrophic processes Direct & indirect affects on beneficial species; effects of gene products on nutrient cycling Introduced pests; pesticides; pollutants Specificity of gene products and breakdown products; rapid environmental turnover of gene products; monitoring 258 USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. Environmental Risk Assessment and Deployment Strategies for Genetically Engineered Insect-Resistant Populus Acknowledgments ''W This work was supported by the University of Wisconsin-Madison College of Agricultural and Life Sciences, Hatch, the UW-Madison Graduate School, McintireStennis, and the Consortium for Plant Biotechnology. Literature Cited Abbott, R.J. 1994. Ecological risks of transgenic crops. Trends in Ecology and Evolution. 9: 280-282. Aber, J.D.; Melillo, J.M.; McClaugherty, C.A.1990. Predicting long-term patterns of mass loss, nitrogen dynamics, and soil organic matter formation from initial fine litter chemistry in temperate forest ecosystems. Can. J. Bot. 68: 2201-2208. Andrews, R.E.; Parks, L.W.; Spence, K.D. 1980. Some effects of Douglas fir terpenes on certain microorganisms. Appl. Environ. Microbial. 40: 301-304. Angle, J .S. 1994. Release of transgenic plants: Biodiversity ~nd population -level considerations. Mol. Ecol. 3:45-50. Appel, H.M.; Schultz, J.C. 1994. Oak tannins reduce effectiveness of thuricide (Bacillus thuringiensis) in the gypsy moth (Lepidoptera: Lymantriidae). J. Econ. Entomol. 87: 1736-1742. Barbosa, P.; Saunders, J.A. 1984. Plant allelochemicals: Linkages between herbivores and their natural enemies. Recent Advances in Phytochemistry. 19: 107-136. Bergelson, J. 1994. Changes in fecundity do not predict invasiveness- a model study of transgenic plants. Ecology. 75: 249-252. Bemays, E.A.; Woodhead, S. 1982. Plant phenols utilized as nutrients by a phytophagous insect. Science. 216: 201203. . Bingaman, B.R.; Hart, E.R. 1993. Clonal and leaf age variation in Populus phenolic glycosides: Implications for host selection by Chrysomela scripta (Coleoptera: Chrysomelidae). Environ. Entomol. 22: 397-403. Brattsten, L.B. 1991. Bioengineering of crop plants andresistant biotype evolution in insects. Counteracting coevolution. Archives Insect Biochem. & Physiol. 17: 253-267. Brattsten, L.B.; Holyoke, C.W., Jr.; Leeper, J.R.; Raffa, K.F. 1986. Insecticide resistance: Challenge to pest management and basic research. Science. 231: 1255-1260. Cates, R.G.; Terry, R.; Zou, J.; Wood, S.G. 1995. The effect of tannins and phenolics from Alaskan taiga species on nitrogen fixation in Alnus tenuifolia. Bull. Torrey Bot. Club. Submitted. USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. Caltagirone, L.E.; Huffaker, C.B. 1980. Benefits and risks of using predators and parasites for controlling pests. In: Lundholm, B.; Stackerus, M., eds. Environmental protection and biological forms of control of pest organisms. Ecol. Bull. (Stockholm) 32: 103-109. Campbell, B.C.; Duffey, S.S. 1979. Tomatine and parasitic wasps: potential incompatibility of plant antibiosis with biological control. Science. 205: 700-702. Charudattan, R.; Browning, H.W., eds. 1992. Regulations and guidelines: Critical issues in biological control, Proceedings of a USDA/CSRS national workshop. Institute of Food and Agric. Sciences, Univ. Florida, Gainesville, FL, U.S.A. Codella, S.G.; Raffa, K.F. 1995. Host plant influence on chemical defense in conifer sawflies (Hymenoptera: Diprionidae). Oecologia. 104: 1-11. Cohan, F.M.; Graf, J. 1985. Latitudinal cline in Drosophila melanogaster for knockdown resistance to ethanol fumes and for rates of response to selection for further resistance. Evolution. 39: 278-293. Coleman, J. 1986. Leaf development and leaf stress: Increased susceptibility associated with sink-source transition. Tree Physiol. 2: 289-299. Coulson, J.R.; Soper, R.S. 1989. Protocols for the introduction of biological control agents in the US. In: Kahr, R.P., ed. Plant protection and quarantine. Boca Raton, FL, U.S.A.: CRC Press: 1-35. Dale, P.J. 1994. The impact of hybrids between genetically modified crop plants and their related species: General considerations. Mol. Ecol. 3: 31-36. Dale, P.L.; Irwin, J.A .. 1995. The release of transgenic plants from containment, and the move towards their widespread use in agriculture. Euphytica. 85: 425-431. de Zoeten, G.A. 1991. Risk assessment: Do we let history repeat itself? Phytopathology. 81: 585-586. Edmunds, G.R., Jr.; Alstad, D.N. 1978. Coevolution in insect herbivores and conifers. Science. 199: 941-945. Eggers-Schumacher, H.A. 1983. A comparison of the reproductive performance of insecticide-resistant and susceptible clones of Myzus persicae. Entomol. Ex per. Applic. 34: 301-307. Ehler, L.E. 1990. Environmental impact of introduced biological-control agents: Implications for agricultural biotechnology. Risk assessment in agricultural biotechnology: Proc. Internat. Conference. 85-96. Ehler, L.E.; Hall, R.W. 1982. Evidence for competitive exclusion of introduced natural enemies in biological control. Environ. Entomol. 11: 1-4. Ellis, D.O.; Rintamaki-Strait, J.; Francis, K.; Kleiner, K.; Raffa, K.; McCown, B. 1996. Transgene expression in spruce and poplar: From the lab to the field. In: Ahuja, M.R.; Boerjan, W.; Neale, D.B., eds. Somatic cell genetics and molecular genetics of trees. Dordrecht, The Netherlands: Kluwer Academic Publishers: 159-163. 259 Section V Biotechnological Applications Ellis, D.O.; Rintamaki-Strait, J.; Wraith, S.; McCown, B.; Kleiner, K.; Raffa, K.F. 1994. Expression of Introduced Genes in Trees: Practical and Environmental Considerations. In: Proceedings of the TAPPI 1994 biological sciences symposium. 1994 Oct. 3-6; Minneapolis, MN, U.S.A.: 139-146. Ellis, W.R.; Ham, G.E.; Schmidt, E.L. 1984. Persistence and recovery ofRhizobium japonicum inoculum in a field soil. Agron. J. 76:573-576. Falk, B.W.; Bruening, G. 1994. Will transgenic crops generate new viruses and new diseases? Science. 263: 1395-1396. Federal Insecticide, Fungicide, & Rodenticide Act. 1978 (And subsequent amendments). Environmental Protection Agency. Findlay, S.; Jones, C.G. 1990. Exposure of cottonwood plants to ozone alters subsequent leaf decomposition. Oecologia. 82: 248-250. Flexon, P.B.; Rodell, C.F. 1982. Genetic recombination and directional selection for DDT resistance in Drosophila melanogaster. Nature. 298:672-674. Forgash, A.J. 1984. History, evolution, and consequences of insecticide resistance. Pest. Biochem. and Physiol. 22: 178-186. Frederick, R.J.; Egan, M. 1994. Environmentally compatible applications of biotechnology. BioScience. 44: 529-535. Fuester, R. W. 1993. Quarantine issues affecting biological control. In: McDonald, R.C.; Harper, J.D.; Dickerson, W.A., eds. Biological control: Developing strategies for the 90's. Proceedings of a national conference. 1991 April 8-11. Raleigh, NC, U.S.A.: Plant Industry Division, Plant Protection Section, North Carolina Department of Agriculture: 22-26. Georghiou, G.P.; Lagunes-Tejeda, A., eds. 1991. The occurrence of resistance to pesticides in arthropods: an index of cases reported through 1989. Rome: Food and Agriculture Organization of the United Nations. Georghiou, G.P.; Saito, T. 1983. Pest resistance to pesticides. New York, NY, U.S.A.: Plenum Press: 809 p. Giampietro, M. 1994. Sustainability and technological development agriculture - a critical appraisal of genetic engineering. BioScience. 44: 677-689. Gould, F. 1988. Evolutionary biology and genetically engineered crops. BioScience. 38: 26-33. Harris, P. 1985. Biocontrol and the law. Bull. Entomol. Soc. Can. 17: 1: Hinkle, M.K. 1993. Environmental issues of biological control regulation. In: McDonald, R.C.; Harper, J.D.; Dickerson, W.A., eds. Biological control: Developing strategies for the 90's. Proceedings of a national conference. 1991 April 8-11. Raleigh, NC. Raleigh, NC, U.S.A.: Plant Industry Division, Plant Protection Section, North Carolina Department of Agriculture: 13-21. 260 Holt, R. 1977. Predation, apparent competition, and the structure of prey communities. Th.eor. Popul. Bioi. 12: 197-229. Homer, J.D.; Gosz, J.R.; Cates, R.G. 1988. The role of carbon-based plant secondary metabolites in decomposition in terrestrial ecosystems. Amer. Naturalist. 132: 869-883. Howarth, F.G. 1991. Environmental impacts of classical biological control. Ann. Rev. Entomol. 36: 485-509. Hoy, C.W.; Head, G. 1995. Correlation between behavioral and physiological responses transgenic potatoes contafning Bacillus thuringiensis delta-endotoxin in Leptinotarsa decemlineata (Coleoptera: Chrysomelidae). J. Econ. Entomol. 88: 480-486. Hubbes, M. 1993. Impact of molecular biology on forest pathology- a literature review. Europ. J. Forest Pathol. 23: 201-217. Hutton, P. 1992. Regulation of microbial biological pest control agents by the Environmental Protection Agency. In: Charudattan, R.; Browning, H.W., eds. Regulations and guidelines: Critical issues in biological control, Proceedings of a USDA/CSRS national workshop. Institute of Food and Agric. Sciences. Gainesville, FL, U.S.A.: Univ. Florida: 25-30. Hwang, S.Y.; Lindroth, R.L.; Montgomery, M.E.; Shields, K.S. 1995. Aspen leaf quality affects gypsy moth (Lepidoptera: Lymantriidae) susceptibility to Bacillus thuringiensis. J. Econ. Entomol. 88: 278-282. Jepson, P.C.; Croft, B.A.; Pratt, C.E. 1994. Test systems to determine the ecological risks posed by toxins release from Bacillus thuringiensis genes in crop plants. Mol. Ecol. 3: 81-89. Johnson, M.T.; Gould, F. 1992. Interaction of genetically engineered host plant resistance and natural enemies of Heliothis virescens (Lepidoptera, Noctuidae) in Tobacco. Environ. Entomol. 21: 586-597. Kareiva, P.; Morris, W.; Jacobi, C.M. 1994. Studying and managing the risk of cross-fertilization between transgenic crops and wild relatives. Mol. Ecol. 3: 15-21. Kleiner, K.W.; Ellis, D.O.; McCown, B.H.; Raffa, K.F. 1995. Field evaluation of transgenic poplar expressing Bacillus thuringiensis d-endotoxin gene against forest tent caterpillar (Lepidoptera: Lasiocampidae) and gypsy moth (Lepidoptera: Lymantriidae). Environ. Entomol. 24: 1358-1364. Kulkarni, A.P.; Hodgson, E. 1984. The metabolism of insecticides: the role of monooxygenase enzymes. Ann. Rev. Pharmacal. Toxicol. 24: 19-42. Liebhold, A.M.; MacDonald, W.L.; Bergdahl, D.; Mastro, · V.C. 1995. Invasion by exotic forest pests: A threat to forest ecosystems. Forest Sci. Monogr. 30.49 p. Lindroth, R.L.; Bloomer, M.S. 1991. Biochemical ecology of the forest tent caterpillar: Responses to dietary protein and phenolic glycosides. Oecologia. 86: 408413. USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. Environmental Risk Assessment and Deployment Strategies for Genetically Engineered Insect-Resistant Populus Lodge, D.M. 1993. Biological invasions - lessons for ecology. Trends in Ecology & Evolution. 8: 133-137. Mariani, C.; DeBeuckleer, M.; Truellner, J.; Leemans, ].; Goldberg, R.B. 1990. Induction of male sterility in plants by a chimeric ribonuclease gene. Nature. 347: 737-741. Mattson, W.J.; Addy, N.D. 1975. Phytophagous insects as regulators of forest primary production. Science. 190: 515-522. McCown, B.H.; McCabe, D.E.; Russell, D.R.; Robison, D.].; Barton, K.A.; Raffa, K.F. 1991. Stable transformation of Populus and incorporation of pest resistance by electrical discharge particle acceleration. Plant Cell Reports. 5:590-594. Mcevoy, P.B. 1996. Host specificity and biological pest control. How well is research on host specificity addressing the potential risks of biological control? BioScience. 46: 401-405. McGaughey, W.H. 1985. Insect resistance to the biological insecticide Bacillus thuringiensis. Science. 229: 193-195. McGranahan, G.M.; Leslie, C.A.; Uratsu, S.L.; Martin, L.A.; Dandekar, A.M. 1988. Agrobacterium-mediated transformation of walnut somatic embryos and regeneration of transgenic plants. Bio/Technol. 6: 800-804. Melillo, J.M.; Aber, J.D.; Mura'tore, ].F. 1982. Nitrogen and lignin control of hardwood leaf litter decomposition dynamics. Ecology. 63: 621-626. Meyer, G.A.; Montgomery, M.E. 1987. Relationships between leaf age and the food quality of cottonwood foliage for the gypsy moth, Lymantria dispar. Ecology. 72: 527-532. Miller, J.C.D. 1990. Field assessment of the effects of amicrobial pest control agent on nontarget Lepidoptera. Amer. Entomol. 36: 135-139. Moamed, H.W.; Ellis, W.R.; Schmidt, E.L. 1984. Rhizosphere responses as a factor in competition among three serogroups of indigenous Rhizobium japonicum for inoculation of field-grain soybeans. Applied & Environ. Microbial. 47: 607-612. Mooney, H.A.; Drake, J.A., eds. 1986. Ecology of biological invasions of North America and Hawaii. New York, NY, U.S.A.: Springer-Verlag. 321 p. Morgan, G.M. 1993. Risk analysis and management. Sci. Amer. 269: 32-41. Muggleton, J. 1982. A model for the elimination of insecticide resistance using heterozygous disadvantage. Heredity. 49: 247-251. Mullin, C.A.; Scott, J.G., eds. 1992. Molecular mechanisms of insecticide resistance: diversity among insects. Washington, D.C., U.S.A.: American Chemical Society: 322 p. National Academy of Sciences, 1987. Committee on the Introduction of Genetically Engineered Organisms into the Environment. Washington, D.C., U.S.A.: National Academy Press. National Academy of Sciences, 1989. Field testing genetically-modified organisms. Washington, D.C., U.S.A.: USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. National Academy Press. Oka, F.N .; Bahagiaivani, H. 1984. Development and management of a new brown plant hopper (Nilaparvata leguna Stal) biotype in North Sumatra, Indonesia. Indonesia. Contributions from the Central Research Institute for Food Crops Bogor. 71: 1-33. Oppenoorth, F.J. 1984. Biochemistry of insecticide resistance. Pestic. Biochem. Physiol. 22: 187-193. Pimentel, D. 1980. Environmental risks asspciated with biological controls. In: Lundholm, B.; Stackerud, M., eds., Environmental protection and biological forms of control of pest organisms. Ecol. Bull. (Stockholm) 31: 11-24. Pimentel, D., ed. 1991. Handbook of pest management in agriculture. Boca Raton, FL, U.S.A.: CRC Press. Pimentel, D.; Hunter, M.S.; LaGro, ].A.; Efroymson, R.A.; Landers,J.C.D.; Mervis, F.T.; McCarthy, C.A.; Boyd, A.E. 1989. Benefits and risks of genetic engineering in agriculture. BioScience. 39: 606-614. Pimentel, D.; Warneke, A. 1989. Ecological effects of manure, sewage, sludge and other organic wastes on arthropod populations. Agr. Zool. Rev. 3: 1-32. Price, P.W.; Bouton, C.E.; Gross, P.; McPheron, B.A.; Thompson, J.N .; Weis, A.E. 1980. Interactions among three trophic levels: Influence of plants on interactions between insect herbivores and natural enemies. Annual Rev. Ecol. & System. 11: 41-65. Raffa, K.F. 1989. Genetic engineering of trees to enhance resistance to insects: Evaluating the risks of biotype evolution and secondary pest outbreak. BioScience. 39: 524534. Raffa, K.F.; McCown, B.; Ellis, D.; Ramachandran, R.; Robison, D.J. 1993. Prospects and approaches to genetically engineered pest resistance in energy trees. In: Hall, R.B.; Hanna, R.D.; Nyong' o, R.N., eds. Proc. Internat. Energy Agency 1991 Joint meeting of task force V groups on exchange of genetic materials and joint trials of Alnus, Populus, & Salix. 1991 August 22-27; Ames, lA, U.S.A.: Ames, lA, U.S.A.: Iowa State University: 98-106. Ramachandran, R.; Raffa, K.F.; Bradley, D.; Miller, M.; Ellis, D.; McCown, B. 1993a. Activity of an insecticidal protein from Bacillus thuringiensis subsp. thuringiensis HD290-1 strain to coleopteran and lepidopteran defoliators of poplars. Environ. Entomol. 22: 190-196. Ramachandran, R.; Raffa, K.F.; Miller, M.J.; Ellis, D.E.; McCown, B.H. 1993b. Behavioral and physiological responses of spruce budworm and fall webworm larvae to Bacillus thuringiensis Cry 1A(a) toxin. Environ. Entornol. 22: 197-211. Ramachandran, R.; McCown, B.H.; Ellis, D.E.; Raffa, K. 1994. Biotechnology and host plant resistance: Benefits, risks, strategies for development and deployment. In: Ananthakrishnan, T.N .; Raman, A., eds. Chemical ecology of phytophagous insects. New York: International Science Publishers: 275-288. 261 Section V Biotechnological Applications Regal, P.J. 1994. Scientific principles for ecologically based risk assessment of transgenic organisms. Mol. Ecol. 3: 5-13. Robison, D.J.; McCown, B.H.; Raffa, K.F. 1994. Responses of gypsy moth (Lepidoptera: Lymantriidae) and forest tent caterpillar (Lepidoptera: Lasiocampidae) to transgenic poplar, Populus spp., containing a Bacillus thuringiensis d-endotoxin gene. Environ. Entomol. 23: 1030-1041. Robison, D.J.; Raffa, K.F. 1990. Hybrid poplar productivity, and suitability for the forest tent caterpillar: A framework for evaluation. Proc. 1989 aspen symposium; 1989 July 25-27; Duluth, MN, U.S.A. Gen. Tech. Rep. NC-140. St. Paul, MN, U.S.A.: U.S. Dept. of Agriculture, Forest Service: 155-162. Robison, D.J.; Raffa, K.F. 1994. Characterization of hybrid poplar clones for resistance to the forest tent caterpillar. Forest Science. 40: 686-714. Robison, D.J.; Raffa, K.F. 1997a. Effects of constitutive and inducible traits of hybrid poplars on forest tent caterpillar feeding and population ecology. Forest Science. In press. Robison, D.J.; Raffa, K.F. 1997b. Productivity, drought tolerance, and pest status of hybrid Populus: Tree improvement and silvicultural implications. Biomass and Bioenergy. In press. Rossiter, M.; Yendol, W.G.; DuBois, N.R. 1990. Resistance of Bacillus thuringiensis in gypsy moth (Lepidoptera: Lymantriidae): genetic and environmental causes. J. Econ. Entomol. 83: 2211-2218. Roush, R. T. 1987. Ecological genetics of insecticide and acaricide resistance. Ann. Rev. Entomol. 32:361-380. Roush, R.T.; Tabashnik, B.E., eds. 1990. Pesticide resistance in arthropods. New York: Chapman and Hall: 303 p. Ryan, M.F.; Byrne, 0. 1988. Plant-insect coevolution and inhibition of acetylcholinesterase. J. Chern. Ecol. 14: 1965-1975. Samways, M.J. 1988. Classical biological control and insect conservation: Are they compatible? Environ. Conserv. 15: 349-354. Seidler, R.J .; Levin, M. 1994. Potential ecological and nontarget effects of transgenic plant gene products on agriculture, silviculture, and natural ecosystems: general introduction. Mol. Ecol. 3: 1-3. Simmonds, N.W., ed. 1976. The evolution of crop plants. London, England: Longmans: 339 p. Simberloff, D. 1985. Predicting ecological effects of novel entities: evidence from higher organisms. In: Halverson, H.O.; Pramer, D.; Rogul, M., eds. Engineered organisms in the environment: Scientific issues. Washington, D.C., U.S.A.: Amer. Soc. Microbial.: 152-161. Singer, M.C.; Parmesan, C. 1993. Sources of variation in patterns of plant-insect interactions association. Nature. 361: 251-253. Singer, M.C.; Thomas, C.D.; Parmesan, C. 1993. Rapid hu- 262 man-induced evolution of insect diet. Nature. 366: 681683. Skylakakis, G. 1982. Epidemiological factors affecting the rate of selection of biocide-resistant genotypes of plant pathogenic fungi. Phytopath. 72: 271-273. Smiley, T.J.; Hom, J.M.; Rank, N.E. 1985. Ecological effects of salicin at three trophic levels: New problems from old adaptations. Science. 229: 649-651. Strauss, S.H.; Rottmann, W.H.; Brunner, A.M.; Sheppard, L.A. 1995. Genetic engineering of reproductive sterility in forest trees. Mole. Breeding. 1: 5-26. Strauss, S.H.; Howe, G.T.; Goldfarb, B. 1991. Prospects for genetic engineering of insect resistance in forest trees. Forest Ecology and Management. 43: 181-209. Sugai, S.F.; Schimel, J.P. 1993. Decomposition and biomass incorporation of 14C-labeled glucose and phenolics in taiga forest floor: effect of substrate quality, successional state, and season. Soil Bioi. Biochem. 25: 1379-1389. Tabashnik, B.E. 1994. Evolution of resistance to Bacillus thuringiensis. Annual Rev. Entomol. 39: 47-79. Tabashnik, B.E.; Croft, B.A. 1982. Managing pesticide resistance in crop-arthropod complexes: Interactions between biological and operational factors. Environ. Entomol. 11: 1137-1144. Tiedje, J.M.; Colwell, R.K.; Crossman, Y.L.; Hodson, R.E.; Lenski, R.E.; Mack, R.N.; Regal, P.J. 1989. The planned introduction of genetically engineered organisms: Ecological considerations and recommendations. Ecology. 70: 298-315. Timmons, A.M.; Charters, Y.M.; Dubbels, S.J.; Wilkinson, M.J. 1995. Assessing the risks of wind pollination from fields of genetically modified Brassica napus ssp. oleifera. Euphytica. 85: 417-423. Timmons, A.M.; Charters, Y.M.; Crawford, J.W.; Burn, D.; Scott, S.E.; Dubbels, S.J.; Wilson, N.J.; Robertson, A.; O'Brien, E.T.; Squire, G.R.; Wilkinson, M.J. 1996. Risks from transgenic crops. Nature. 380:487. Tolin, S.A.; Vidaver, A.K. 1989. Guidelines and regulations for research with genetically modified organisms: a view from Academe. Annual Rev. Phytopath. 27: 551-581. Upholt, W.M. 1985. The regulation of pesticides. In: Mandara, N.B., ed. Handbook of natural pesticides. Methods, theory, product, and detection. Boca Raton, FL, U.S.A.: CRC Press: 273-295. Vol. 1. Urban, D.J.; Cook, N.J. 1986. Hazard Evaluation Division standard evaluation procedure: Ecological risk assessment. Washington, D.C., U.S.A.: US EPA Office of Pesticides Programs. US Congress, Office of Technology Assessment. 1993. Harmful non-indigenous species in the United States. OTA-F-565. Washington, D.C., U.S.A.: Govt. Printing Office. USDA FS. 1991. Pest risk assessment of the importation of larch from Siberia and the Soviet far east. USDA Forest Service/Miscellaneous Publication no. 1495: S-1-L-6. USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. Environmental Risk Assessment and Deployment Strategies for Genetically Engineered Insect-Resistant Populus USDA FS. 1995. Record of decision. Final environmental impact statement for the management of the redcockaded woodpecker and its habitat on national forests in the southern region. Manag. Bull. R8-MB-73. Van Frankenhuyzen, K.; Nystron, C.W.; Tabashnik, B.E. 1995. Variation in tolerance to Bacillus thuringiensis among and within populations of the spruce bud worm (Lepidoptera: Totricidae) in Ontario. J. Econ. Entomol. 88:97-105. Via, S. 1990. Ecological genetics and host adaptation in herbivorous insects: The experimental study of evolution in natural and agricultural systems. Annual Rev. Entomol. 35: 421-446 Weseloh, R.M.; Andreadis, T.G.; Moore, R.E.B.; Anderson, J.F.; DuBois, N.R.; Lewis, F.B. 1983. Field confirmation of a mechanism causing synergism between Bacillus thuringiensis and the gypsy moth parasitoid, Apanteles melanoscelus. ]. Insect Pathol. 41: 99-103. USDA Forest Service Gen. Tech. Rep. RM-GTR-297. 1997. White, W.B.; DeNitto, G.A.; Hanson, J.B.; Bellinger, M.D.; Russell, J.T.H. 1992. Pest risk assessment on the importation of Pinus radiata and Douglas-fir logs from New Zealand. Draft Copy: 1-61. Whitham, T. 1983. Host manipulation of parasites: withinplant variation as a defense against rapidly evolving pests. In: Denno, R.F.; McClure, M.S., eds. Variable plants and herbivores in natural and managed systems. New York: Academic Press: 15-41. Williamson, M. 1994. Community response to transgenic plant release: Predictions from British experience of invasive plants and feral crop plants. Mol. Ecol. 3: 75-79. Wilson, R.; Crouch, E.A.C. 1987. Risk assessment and comparison: an introduction. Science. 236: 267-270. Windle, P.M.; Franz, E.H. 1979. The effects of insect parasitism on plant competition: greenbugs and barley. Ecology. 601: 521-529. 263